Pandas Profiling Report

Dataset statistics

Number of variables	40
Number of observations	2459560
Missing cells	48623585
Missing cells (%)	49.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.7 GiB
Average record size in memory	1.1 KiB

Variable types

Categorical	16
Numeric	17
Unsupported	7

Alerts

`ancien_code_commune` has constant value "49382.0"	Constant
`ancien_nom_commune` has constant value "Le Fresne-sur-Loire"	Constant
`ancien_id_parcelle` has constant value "440600000B1194"	Constant
`id_mutation` has a high cardinality: 1075292 distinct values	High cardinality
`date_mutation` has a high cardinality: 360 distinct values	High cardinality
`adresse_nom_voie` has a high cardinality: 394478 distinct values	High cardinality
`nom_commune` has a high cardinality: 29092 distinct values	High cardinality
`id_parcelle` has a high cardinality: 1535306 distinct values	High cardinality
`code_nature_culture_speciale` has a high cardinality: 120 distinct values	High cardinality
`nature_culture_speciale` has a high cardinality: 120 distinct values	High cardinality
`lot1_surface_carrez` is highly correlated with `lot4_surface_carrez` and 3 other fields	High correlation
`lot2_surface_carrez` is highly correlated with `surface_reelle_bati` and 1 other fields	High correlation
`lot3_surface_carrez` is highly correlated with `lot4_surface_carrez` and 1 other fields	High correlation
`lot4_numero` is highly correlated with `lot5_numero`	High correlation
`lot4_surface_carrez` is highly correlated with `lot1_surface_carrez` and 2 other fields	High correlation
`lot5_numero` is highly correlated with `lot4_numero`	High correlation
`lot5_surface_carrez` is highly correlated with `lot4_surface_carrez`	High correlation
`nombre_lots` is highly correlated with `code_type_local`	High correlation
`code_type_local` is highly correlated with `nombre_lots` and 1 other fields	High correlation
`surface_reelle_bati` is highly correlated with `lot1_surface_carrez` and 3 other fields	High correlation
`nombre_pieces_principales` is highly correlated with `lot1_surface_carrez` and 3 other fields	High correlation
`surface_terrain` is highly correlated with `lot1_surface_carrez`	High correlation
`valeur_fonciere` is highly correlated with `lot5_surface_carrez`	High correlation
`lot1_surface_carrez` is highly correlated with `lot2_surface_carrez` and 3 other fields	High correlation
`lot2_surface_carrez` is highly correlated with `lot1_surface_carrez` and 3 other fields	High correlation
`lot3_surface_carrez` is highly correlated with `lot1_surface_carrez` and 3 other fields	High correlation
`lot4_numero` is highly correlated with `lot5_numero`	High correlation
`lot4_surface_carrez` is highly correlated with `lot1_surface_carrez` and 3 other fields	High correlation
`lot5_numero` is highly correlated with `lot4_numero`	High correlation
`lot5_surface_carrez` is highly correlated with `valeur_fonciere` and 4 other fields	High correlation
`code_type_local` is highly correlated with `nombre_pieces_principales`	High correlation
`nombre_pieces_principales` is highly correlated with `code_type_local`	High correlation
`lot1_surface_carrez` is highly correlated with `surface_reelle_bati` and 1 other fields	High correlation
`lot2_surface_carrez` is highly correlated with `surface_reelle_bati` and 1 other fields	High correlation
`lot3_surface_carrez` is highly correlated with `lot4_surface_carrez` and 1 other fields	High correlation
`lot4_numero` is highly correlated with `lot5_numero`	High correlation
`lot4_surface_carrez` is highly correlated with `lot3_surface_carrez`	High correlation
`lot5_numero` is highly correlated with `lot4_numero`	High correlation
`code_type_local` is highly correlated with `nombre_pieces_principales`	High correlation
`surface_reelle_bati` is highly correlated with `lot1_surface_carrez` and 3 other fields	High correlation
`nombre_pieces_principales` is highly correlated with `lot1_surface_carrez` and 3 other fields	High correlation
`adresse_numero` is highly correlated with `adresse_suffixe` and 1 other fields	High correlation
`adresse_suffixe` is highly correlated with `adresse_numero`	High correlation
`lot1_surface_carrez` is highly correlated with `lot2_surface_carrez` and 5 other fields	High correlation
`lot2_surface_carrez` is highly correlated with `lot1_surface_carrez` and 3 other fields	High correlation
`lot3_surface_carrez` is highly correlated with `lot1_surface_carrez` and 3 other fields	High correlation
`lot4_numero` is highly correlated with `lot5_numero` and 1 other fields	High correlation
`lot4_surface_carrez` is highly correlated with `lot1_surface_carrez` and 3 other fields	High correlation
`lot5_numero` is highly correlated with `lot4_numero` and 2 other fields	High correlation
`lot5_surface_carrez` is highly correlated with `adresse_numero` and 6 other fields	High correlation
`nombre_lots` is highly correlated with `lot5_numero`	High correlation
`code_type_local` is highly correlated with `type_local`	High correlation
`type_local` is highly correlated with `code_type_local`	High correlation
`code_nature_culture` is highly correlated with `lot1_surface_carrez` and 1 other fields	High correlation
`nature_culture` is highly correlated with `lot1_surface_carrez` and 1 other fields	High correlation
`longitude` is highly correlated with `latitude`	High correlation
`latitude` is highly correlated with `longitude`	High correlation
`valeur_fonciere` has 31752 (1.3%) missing values	Missing
`adresse_numero` has 990345 (40.3%) missing values	Missing
`adresse_suffixe` has 2352374 (95.6%) missing values	Missing
`adresse_nom_voie` has 31123 (1.3%) missing values	Missing
`adresse_code_voie` has 30948 (1.3%) missing values	Missing
`code_postal` has 30992 (1.3%) missing values	Missing
`ancien_code_commune` has 2459559 (> 99.9%) missing values	Missing
`ancien_nom_commune` has 2459559 (> 99.9%) missing values	Missing
`ancien_id_parcelle` has 2459559 (> 99.9%) missing values	Missing
`numero_volume` has 2452794 (99.7%) missing values	Missing
`lot1_numero` has 1702571 (69.2%) missing values	Missing
`lot1_surface_carrez` has 2250280 (91.5%) missing values	Missing
`lot2_numero` has 2303817 (93.7%) missing values	Missing
`lot2_surface_carrez` has 2408519 (97.9%) missing values	Missing
`lot3_numero` has 2434251 (99.0%) missing values	Missing
`lot3_surface_carrez` has 2454703 (99.8%) missing values	Missing
`lot4_numero` has 2450649 (99.6%) missing values	Missing
`lot4_surface_carrez` has 2458303 (99.9%) missing values	Missing
`lot5_numero` has 2455417 (99.8%) missing values	Missing
`lot5_surface_carrez` has 2458997 (> 99.9%) missing values	Missing
`code_type_local` has 1143726 (46.5%) missing values	Missing
`type_local` has 1143726 (46.5%) missing values	Missing
`surface_reelle_bati` has 1447059 (58.8%) missing values	Missing
`nombre_pieces_principales` has 1145290 (46.6%) missing values	Missing
`code_nature_culture` has 767675 (31.2%) missing values	Missing
`nature_culture` has 767675 (31.2%) missing values	Missing
`code_nature_culture_speciale` has 2352011 (95.6%) missing values	Missing
`nature_culture_speciale` has 2352011 (95.6%) missing values	Missing
`surface_terrain` has 767734 (31.2%) missing values	Missing
`longitude` has 30083 (1.2%) missing values	Missing
`latitude` has 30083 (1.2%) missing values	Missing
`numero_disposition` is highly skewed (γ1 = 43.49084046)	Skewed
`valeur_fonciere` is highly skewed (γ1 = 33.82295023)	Skewed
`lot1_surface_carrez` is highly skewed (γ1 = 38.30939309)	Skewed
`lot2_surface_carrez` is highly skewed (γ1 = 61.88484225)	Skewed
`lot3_surface_carrez` is highly skewed (γ1 = 34.54675199)	Skewed
`lot4_surface_carrez` is highly skewed (γ1 = 20.40788883)	Skewed
`nombre_lots` is highly skewed (γ1 = 22.11245427)	Skewed
`surface_reelle_bati` is highly skewed (γ1 = 121.3804483)	Skewed
`surface_terrain` is highly skewed (γ1 = 245.0111668)	Skewed
`adresse_code_voie` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`code_commune` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`code_departement` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`numero_volume` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`lot1_numero` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`lot2_numero` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`lot3_numero` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`nombre_lots` has 1702571 (69.2%) zeros	Zeros
`nombre_pieces_principales` has 385324 (15.7%) zeros	Zeros

Reproduction

Analysis started	2021-09-28 12:16:22.932386
Analysis finished	2021-09-28 12:28:16.051425
Duration	11 minutes and 53.12 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

id_mutation
Categorical

HIGH CARDINALITY

Distinct	1075292
Distinct (%)	43.7%
Missing	0
Missing (%)	0.0%
Memory size	159.4 MiB

2020-623209	9147
2020-1015900	1630
2020-793983	859
2020-913532	828
2020-294233	748
Other values (1075287)	2446348

Length

Max length	12
Median length	11
Mean length	10.94772724
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	515782 ?
Unique (%)	21.0%

Sample

1st row	2020-1
2nd row	2020-2
3rd row	2020-2
4th row	2020-2
5th row	2020-2

Common Values

Value	Count	Frequency (%)
2020-623209	9147	0.4%
2020-1015900	1630	0.1%
2020-793983	859	< 0.1%
2020-913532	828	< 0.1%
2020-294233	748	< 0.1%
2020-948402	746	< 0.1%
2020-800307	729	< 0.1%
2020-1019571	659	< 0.1%
2020-1017225	602	< 0.1%
2020-41662	581	< 0.1%
Other values (1075282)	2443031	99.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-623209	9147	0.4%
2020-1015900	1630	0.1%
2020-793983	859	< 0.1%
2020-913532	828	< 0.1%
2020-294233	748	< 0.1%
2020-948402	746	< 0.1%
2020-800307	729	< 0.1%
2020-1019571	659	< 0.1%
2020-1017225	602	< 0.1%
2020-41662	581	< 0.1%
Other values (1075282)	2443031	99.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

date_mutation
Categorical

HIGH CARDINALITY

Distinct	360
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	157.2 MiB

2020-05-29	24636
2020-01-31	21218
2020-06-30	20464
2020-02-28	19335
2020-05-15	19317
Other values (355)	2354590

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	< 0.1%

Sample

1st row	2020-01-07
2nd row	2020-01-02
3rd row	2020-01-02
4th row	2020-01-02
5th row	2020-01-02

Common Values

Value	Count	Frequency (%)
2020-05-29	24636	1.0%
2020-01-31	21218	0.9%
2020-06-30	20464	0.8%
2020-02-28	19335	0.8%
2020-05-15	19317	0.8%
2020-07-31	18301	0.7%
2020-05-20	18198	0.7%
2020-09-30	17835	0.7%
2020-11-09	17222	0.7%
2020-12-18	17208	0.7%
Other values (350)	2265826	92.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-05-29	24636	1.0%
2020-01-31	21218	0.9%
2020-06-30	20464	0.8%
2020-02-28	19335	0.8%
2020-05-15	19317	0.8%
2020-07-31	18301	0.7%
2020-05-20	18198	0.7%
2020-09-30	17835	0.7%
2020-11-09	17222	0.7%
2020-12-18	17208	0.7%
Other values (350)	2265826	92.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

numero_disposition
Real number (ℝ_≥0)

SKEWED

Distinct	74
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.075359007

Minimum	1
Maximum	74
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.8 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	74
Range	73
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.5593660002
Coefficient of variation (CV)	0.5201667503
Kurtosis	3466.948447
Mean	1.075359007
Median Absolute Deviation (MAD)	0
Skewness	43.49084046
Sum	2644910
Variance	0.3128903222
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	2326887	94.6%
2	105673	4.3%
3	22299	0.9%
4	2094	0.1%
5	663	< 0.1%
6	319	< 0.1%
9	199	< 0.1%
7	184	< 0.1%
8	152	< 0.1%
18	146	< 0.1%
Other values (64)	944	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2326887	94.6%
2	105673	4.3%
3	22299	0.9%
4	2094	0.1%
5	663	< 0.1%
6	319	< 0.1%
7	184	< 0.1%
8	152	< 0.1%
9	199	< 0.1%
10	105	< 0.1%

Value	Count	Frequency (%)
74	3	< 0.1%
73	3	< 0.1%
72	1	< 0.1%
71	1	< 0.1%
70	1	< 0.1%
69	2	< 0.1%
68	1	< 0.1%
67	2	< 0.1%
66	1	< 0.1%
65	1	< 0.1%

nature_mutation
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	161.5 MiB

Vente	2245097
Vente en l'état futur d'achèvement	181174
Echange	23125
Vente terrain à bâtir	6814
Adjudication	2744

Length

Max length	34
Median length	5
Mean length	7.209084552
Min length	5

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Vente
2nd row	Vente
3rd row	Vente
4th row	Vente
5th row	Vente

Common Values

Value	Count	Frequency (%)
Vente	2245097	91.3%
Vente en l'état futur d'achèvement	181174	7.4%
Echange	23125	0.9%
Vente terrain à bâtir	6814	0.3%
Adjudication	2744	0.1%
Expropriation	606	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
vente	2433085	75.9%
en	181174	5.7%
l'état	181174	5.7%
futur	181174	5.7%
d'achèvement	181174	5.7%
echange	23125	0.7%
terrain	6814	0.2%
à	6814	0.2%
bâtir	6814	0.2%
adjudication	2744	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

valeur_fonciere
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct	109008
Distinct (%)	4.5%
Missing	31752
Missing (%)	1.3%
Infinite	0
Infinite (%)	0.0%
Mean	751173.5185

Minimum	0.15
Maximum	490000000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.8 MiB

Quantile statistics

Minimum	0.15
5-th percentile	3400
Q1	65000
median	155000
Q3	275706.34
95-th percentile	1041400
Maximum	490000000
Range	489999999.9
Interquartile range (IQR)	210706.34

Descriptive statistics

Standard deviation	7687440.578
Coefficient of variation (CV)	10.23390786
Kurtosis	1527.457106
Mean	751173.5185
Median Absolute Deviation (MAD)	100000
Skewness	33.82295023
Sum	1.823705078 × 10¹²
Variance	5.909674265 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
150000	20868	0.8%
100000	20027	0.8%
120000	18832	0.8%
200000	17509	0.7%
80000	17303	0.7%
130000	16659	0.7%
90000	16409	0.7%
140000	16400	0.7%
50000	16369	0.7%
110000	15879	0.6%
Other values (108998)	2251553	91.5%
(Missing)	31752	1.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.15	135	< 0.1%
0.16	8	< 0.1%
0.18	3	< 0.1%
0.2	1	< 0.1%
0.3	8	< 0.1%
0.5	10	< 0.1%
0.6	4	< 0.1%
0.7	1	< 0.1%
0.74	1	< 0.1%
0.8	1	< 0.1%

Value	Count	Frequency (%)
490000000	37	< 0.1%
478090528	3	< 0.1%
458732032	1	< 0.1%
436035040	136	< 0.1%
435244992	1	< 0.1%
419000000	2	< 0.1%
401049248	134	< 0.1%
362031840	2	< 0.1%
326611008	4	< 0.1%
312441920	3	< 0.1%

adresse_numero
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	6645
Distinct (%)	0.5%
Missing	990345
Missing (%)	40.3%
Infinite	0
Infinite (%)	0.0%
Mean	697.7083374

Minimum	1
Maximum	9999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.8 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	24
Q3	88
95-th percentile	5508
Maximum	9999
Range	9998
Interquartile range (IQR)	80

Descriptive statistics

Standard deviation	2017.513768
Coefficient of variation (CV)	2.891629151
Kurtosis	8.807717566
Mean	697.7083374
Median Absolute Deviation (MAD)	20
Skewness	3.143063121
Sum	1025083555
Variance	4070361.803
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	66120	2.7%
2	59943	2.4%
3	50285	2.0%
4	47324	1.9%
5	43429	1.8%
6	41342	1.7%
7	36576	1.5%
8	36268	1.5%
9	34058	1.4%
10	33382	1.4%
Other values (6635)	1020488	41.5%
(Missing)	990345	40.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	66120	2.7%
2	59943	2.4%
3	50285	2.0%
4	47324	1.9%
5	43429	1.8%
6	41342	1.7%
7	36576	1.5%
8	36268	1.5%
9	34058	1.4%
10	33382	1.4%

Value	Count	Frequency (%)
9999	427	< 0.1%
9998	52	< 0.1%
9997	13	< 0.1%
9996	20	< 0.1%
9995	14	< 0.1%
9994	3	< 0.1%
9993	4	< 0.1%
9991	11	< 0.1%
9990	17	< 0.1%
9989	3	< 0.1%

adresse_suffixe
Categorical

HIGH CORRELATION
MISSING

Distinct	38
Distinct (%)	< 0.1%
Missing	2352374
Missing (%)	95.6%
Memory size	77.7 MiB

B	64394
A	16399
T	8870
F	7699
C	3329
Other values (33)	6495

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	B
2nd row	B
3rd row	B
4th row	B
5th row	B

Common Values

Value	Count	Frequency (%)
B	64394	2.6%
A	16399	0.7%
T	8870	0.4%
F	7699	0.3%
C	3329	0.1%
D	1656	0.1%
Q	994	< 0.1%
E	922	< 0.1%
P	663	< 0.1%
G	383	< 0.1%
Other values (28)	1877	0.1%
(Missing)	2352374	95.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
b	64394	60.1%
a	16399	15.3%
t	8870	8.3%
f	7699	7.2%
c	3329	3.1%
d	1656	1.5%
q	994	0.9%
e	922	0.9%
p	663	0.6%
g	383	0.4%
Other values (27)	1877	1.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

adresse_nom_voie
Categorical

HIGH CARDINALITY
MISSING

Distinct	394478
Distinct (%)	16.2%
Missing	31123
Missing (%)	1.3%
Memory size	167.3 MiB

LE VILLAGE	25599
LE BOURG	21432
AV JEAN JAURES	5626
GR GRANDE RUE	5215
RUE JEAN JAURES	4911
Other values (394473)	2365654

Length

Max length	31
Median length	15
Mean length	14.84831313
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	141229 ?
Unique (%)	5.8%

Sample

1st row	FORTUNAT
2nd row	TERRES DES CINQ SAULES
3rd row	BOIS DU CHAMP RION
4th row	EN COROBERT
5th row	TERRES DES CINQ SAULES

Common Values

Value	Count	Frequency (%)
LE VILLAGE	25599	1.0%
LE BOURG	21432	0.9%
AV JEAN JAURES	5626	0.2%
GR GRANDE RUE	5215	0.2%
RUE JEAN JAURES	4911	0.2%
RUE DE LA REPUBLIQUE	4687	0.2%
RUE PASTEUR	4504	0.2%
RUE DE PARIS	4088	0.2%
RUE VICTOR HUGO	3641	0.1%
AV DE LA REPUBLIQUE	3560	0.1%
Other values (394468)	2345174	95.3%
(Missing)	31123	1.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
rue	852393	12.1%
de	550864	7.8%
la	378179	5.4%
du	258747	3.7%
le	219407	3.1%
des	212473	3.0%
av	186380	2.6%
les	162604	2.3%
rte	78517	1.1%
che	73448	1.0%
Other values (169029)	4092282	57.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

adresse_code_voie
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	30948
Missing (%)	1.3%
Memory size	142.2 MiB

code_postal
Real number (ℝ_≥0)

MISSING

Distinct	5803
Distinct (%)	0.2%
Missing	30992
Missing (%)	1.3%
Infinite	0
Infinite (%)	0.0%
Mean	51783.62872

Minimum	1000
Maximum	97490
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.8 MiB

Quantile statistics

Minimum	1000
5-th percentile	6400
Q1	31250
median	50700
Q3	76600
95-th percentile	93250
Maximum	97490
Range	96490
Interquartile range (IQR)	45350

Descriptive statistics

Standard deviation	27241.41056
Coefficient of variation (CV)	0.5260622176
Kurtosis	-1.123563097
Mean	51783.62872
Median Absolute Deviation (MAD)	23460
Skewness	-0.07783709677
Sum	1.257600636 × 10¹¹
Variance	742094449.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
51100	6969	0.3%
54000	6252	0.3%
35000	5829	0.2%
75016	5390	0.2%
6000	5341	0.2%
75015	5283	0.2%
44300	5000	0.2%
75018	4992	0.2%
6200	4885	0.2%
72000	4598	0.2%
Other values (5793)	2374029	96.5%
(Missing)	30992	1.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1000	900	< 0.1%
1090	437	< 0.1%
1100	872	< 0.1%
1110	390	< 0.1%
1120	877	< 0.1%
1130	295	< 0.1%
1140	440	< 0.1%
1150	963	< 0.1%
1160	427	< 0.1%
1170	1567	0.1%

Value	Count	Frequency (%)
97490	354	< 0.1%
97480	393	< 0.1%
97470	158	< 0.1%
97460	161	< 0.1%
97450	336	< 0.1%
97442	72	< 0.1%
97441	105	< 0.1%
97440	202	< 0.1%
97439	32	< 0.1%
97438	109	< 0.1%

code_commune
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	85.3 MiB

nom_commune
Categorical

HIGH CARDINALITY

Distinct	29092
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	181.4 MiB

Nice	17756
Nantes	14715
Bordeaux	12847
Lille	10628
Rennes	9721
Other values (29087)	2393893

Length

Max length	45
Median length	10
Mean length	11.94212827
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	694 ?
Unique (%)	< 0.1%

Sample

1st row	Ceyzériat
2nd row	Laiz
3rd row	Laiz
4th row	Laiz
5th row	Laiz

Common Values

Value	Count	Frequency (%)
Nice	17756	0.7%
Nantes	14715	0.6%
Bordeaux	12847	0.5%
Lille	10628	0.4%
Rennes	9721	0.4%
Toulouse	8854	0.4%
Nîmes	8571	0.3%
Saint-Étienne	7400	0.3%
Reims	7110	0.3%
Angers	6642	0.3%
Other values (29082)	2355316	95.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
arrondissement	85812	3.0%
le	75906	2.7%
la	74081	2.6%
paris	54130	1.9%
les	27956	1.0%
marseille	20900	0.7%
nice	17756	0.6%
nantes	14715	0.5%
bordeaux	12847	0.4%
lyon	10782	0.4%
Other values (29013)	2460220	86.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

code_departement
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	85.2 MiB

ancien_code_commune
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	2459559
Missing (%)	> 99.9%
Memory size	93.8 MiB

49382.0	1

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	49382.0

Common Values

Value	Count	Frequency (%)
49382.0	1	< 0.1%
(Missing)	2459559	> 99.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
49382.0	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ancien_nom_commune
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	2459559
Missing (%)	> 99.9%
Memory size	75.1 MiB

Le Fresne-sur-Loire	1

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	Le Fresne-sur-Loire

Common Values

Value	Count	Frequency (%)
Le Fresne-sur-Loire	1	< 0.1%
(Missing)	2459559	> 99.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
le	1	50.0%
fresne-sur-loire	1	50.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

id_parcelle
Categorical

HIGH CARDINALITY

Distinct	1535306
Distinct (%)	62.4%
Missing	0
Missing (%)	0.0%
Memory size	166.5 MiB

78165000AO0008	858
92004000AZ0011	746
30189000EM0022	705
78440000AR0388	687
62193000XB0006	648
Other values (1535301)	2455916

Length

Max length	14
Median length	14
Mean length	14
Min length	14

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1221123 ?
Unique (%)	49.6%

Sample

1st row	01072000AK0216
2nd row	012030000B0004
3rd row	012030000B0173
4th row	012030000B0477
5th row	012030000C0068

Common Values

Value	Count	Frequency (%)
78165000AO0008	858	< 0.1%
92004000AZ0011	746	< 0.1%
30189000EM0022	705	< 0.1%
78440000AR0388	687	< 0.1%
62193000XB0006	648	< 0.1%
06088000IM0369	576	< 0.1%
940330000I0670	476	< 0.1%
06088000OB0437	426	< 0.1%
76351000EI0024	425	< 0.1%
920040000M0071	401	< 0.1%
Other values (1535296)	2453612	99.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
78165000ao0008	858	< 0.1%
92004000az0011	746	< 0.1%
30189000em0022	705	< 0.1%
78440000ar0388	687	< 0.1%
62193000xb0006	648	< 0.1%
06088000im0369	576	< 0.1%
940330000i0670	476	< 0.1%
06088000ob0437	426	< 0.1%
76351000ei0024	425	< 0.1%
920040000m0071	401	< 0.1%
Other values (1535296)	2453612	99.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

ancien_id_parcelle
Categorical

CONSTANT
MISSING
REJECTED

Distinct	1
Distinct (%)	100.0%
Missing	2459559
Missing (%)	> 99.9%
Memory size	75.1 MiB

440600000B1194	1

Length

Max length	14
Median length	14
Mean length	14
Min length	14

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	440600000B1194

Common Values

Value	Count	Frequency (%)
440600000B1194	1	< 0.1%
(Missing)	2459559	> 99.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
440600000b1194	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

numero_volume
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	2452794
Missing (%)	99.7%
Memory size	75.1 MiB

lot1_numero
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	1702571
Missing (%)	69.2%
Memory size	80.3 MiB

lot1_surface_carrez
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	16774
Distinct (%)	8.0%
Missing	2250280
Missing (%)	91.5%
Infinite	0
Infinite (%)	0.0%
Mean	62.17499336

Minimum	0.3
Maximum	7839
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.8 MiB

Quantile statistics

Minimum	0.3
5-th percentile	16.33
Q1	34.61
median	53.77
Q3	72.91
95-th percentile	115.7115
Maximum	7839
Range	7838.7
Interquartile range (IQR)	38.3

Descriptive statistics

Standard deviation	108.4423874
Coefficient of variation (CV)	1.744147953
Kurtosis	2128.899575
Mean	62.17499336
Median Absolute Deviation (MAD)	19.15
Skewness	38.30939309
Sum	13011982.61
Variance	11759.75138
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12.5	831	< 0.1%
12	336	< 0.1%
15	266	< 0.1%
10	205	< 0.1%
13	204	< 0.1%
20	183	< 0.1%
65	175	< 0.1%
40	168	< 0.1%
64	167	< 0.1%
63	164	< 0.1%
Other values (16764)	206581	8.4%
(Missing)	2250280	91.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.3	1	< 0.1%
0.36	1	< 0.1%
0.4	1	< 0.1%
0.47	1	< 0.1%
0.5	3	< 0.1%
0.53	1	< 0.1%
0.58	1	< 0.1%
0.6	1	< 0.1%
0.63	1	< 0.1%
0.75	1	< 0.1%

Value	Count	Frequency (%)
7839	1	< 0.1%
7688.7	10	< 0.1%
7000	1	< 0.1%
6947.85	1	< 0.1%
6696.72	1	< 0.1%
6471	3	< 0.1%
6250	1	< 0.1%
5162	1	< 0.1%
5153	1	< 0.1%
5000	2	< 0.1%

lot2_numero
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	2303817
Missing (%)	93.7%
Memory size	75.9 MiB

lot2_surface_carrez
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	11355
Distinct (%)	22.2%
Missing	2408519
Missing (%)	97.9%
Infinite	0
Infinite (%)	0.0%
Mean	64.32041045

Minimum	0.21
Maximum	8110
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.8 MiB

Quantile statistics

Minimum	0.21
5-th percentile	23.67
Q1	43.43
median	61.06
Q3	76.1
95-th percentile	110.39
Maximum	8110
Range	8109.79
Interquartile range (IQR)	32.67

Descriptive statistics

Standard deviation	83.64054797
Coefficient of variation (CV)	1.300373355
Kurtosis	5017.266439
Mean	64.32041045
Median Absolute Deviation (MAD)	16.45
Skewness	61.88484225
Sum	3282978.07
Variance	6995.741264
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
69.5	50	< 0.1%
60	47	< 0.1%
72	40	< 0.1%
66	39	< 0.1%
67	37	< 0.1%
64	36	< 0.1%
50	36	< 0.1%
71	36	< 0.1%
65	35	< 0.1%
48	34	< 0.1%
Other values (11345)	50651	2.1%
(Missing)	2408519	97.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.21	1	< 0.1%
0.3	2	< 0.1%
0.34	1	< 0.1%
0.4	1	< 0.1%
0.7	1	< 0.1%
0.75	1	< 0.1%
1	9	< 0.1%
1.03	1	< 0.1%
1.05	1	< 0.1%
1.06	1	< 0.1%

Value	Count	Frequency (%)
8110	1	< 0.1%
7203	1	< 0.1%
6947.85	1	< 0.1%
6696.72	1	< 0.1%
6035.29	1	< 0.1%
2980	1	< 0.1%
2933.97	1	< 0.1%
2750	1	< 0.1%
2337.63	1	< 0.1%
2264.61	1	< 0.1%

lot3_numero
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	2434251
Missing (%)	99.0%
Memory size	75.1 MiB

lot3_surface_carrez
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	3726
Distinct (%)	76.7%
Missing	2454703
Missing (%)	99.8%
Infinite	0
Infinite (%)	0.0%
Mean	77.25787935

Minimum	0.34
Maximum	6947.85
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.8 MiB

Quantile statistics

Minimum	0.34
5-th percentile	13.1
Q1	41.04
median	62.24
Q3	87.78
95-th percentile	167.814
Maximum	6947.85
Range	6947.51
Interquartile range (IQR)	46.74

Descriptive statistics

Standard deviation	155.876137
Coefficient of variation (CV)	2.01760828
Kurtosis	1457.145336
Mean	77.25787935
Median Absolute Deviation (MAD)	23.01
Skewness	34.54675199
Sum	375241.52
Variance	24297.3701
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
46.8	37	< 0.1%
31	17	< 0.1%
12.5	16	< 0.1%
12	12	< 0.1%
31.5	12	< 0.1%
10	9	< 0.1%
13	8	< 0.1%
37	8	< 0.1%
15	7	< 0.1%
35	7	< 0.1%
Other values (3716)	4724	0.2%
(Missing)	2454703	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.34	2	< 0.1%
0.48	1	< 0.1%
0.81	1	< 0.1%
0.84	1	< 0.1%
0.89	1	< 0.1%
1	5	< 0.1%
1.01	1	< 0.1%
1.21	1	< 0.1%
1.44	1	< 0.1%
1.62	1	< 0.1%

Value	Count	Frequency (%)
6947.85	1	< 0.1%
6696.72	1	< 0.1%
2240	1	< 0.1%
1468.3	2	< 0.1%
1089.9	1	< 0.1%
760.84	1	< 0.1%
735	1	< 0.1%
715.8	1	< 0.1%
709.65	1	< 0.1%
691.24	1	< 0.1%

lot4_numero
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	622
Distinct (%)	7.0%
Missing	2450649
Missing (%)	99.6%
Infinite	0
Infinite (%)	0.0%
Mean	115.1531815

Minimum	2
Maximum	20027
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.8 MiB

Quantile statistics

Minimum	2
5-th percentile	4
Q1	7
median	22
Q3	69
95-th percentile	430
Maximum	20027
Range	20025
Interquartile range (IQR)	62

Descriptive statistics

Standard deviation	507.3588243
Coefficient of variation (CV)	4.405947086
Kurtosis	503.2851738
Mean	115.1531815
Median Absolute Deviation (MAD)	17
Skewness	18.19309495
Sum	1026130
Variance	257412.9766
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9	564	< 0.1%
7	513	< 0.1%
8	486	< 0.1%
6	478	< 0.1%
4	467	< 0.1%
5	418	< 0.1%
3	262	< 0.1%
2	157	< 0.1%
625	140	< 0.1%
13	136	< 0.1%
Other values (612)	5290	0.2%
(Missing)	2450649	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	157	< 0.1%
3	262	< 0.1%
4	467	< 0.1%
5	418	< 0.1%
6	478	< 0.1%
7	513	< 0.1%
8	486	< 0.1%
9	564	< 0.1%
11	9	< 0.1%
12	72	< 0.1%

Value	Count	Frequency (%)
20027	1	< 0.1%
17015	1	< 0.1%
11705	1	< 0.1%
9135	1	< 0.1%
8379	1	< 0.1%
7450	1	< 0.1%
7449	1	< 0.1%
7447	1	< 0.1%
7179	1	< 0.1%
7050	1	< 0.1%

lot4_surface_carrez
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	1037
Distinct (%)	82.5%
Missing	2458303
Missing (%)	99.9%
Infinite	0
Infinite (%)	0.0%
Mean	94.28529833

Minimum	0.34
Maximum	6947.85
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.8 MiB

Quantile statistics

Minimum	0.34
5-th percentile	11.316
Q1	34.2
median	64.43
Q3	95.75
95-th percentile	196.464
Maximum	6947.85
Range	6947.51
Interquartile range (IQR)	61.55

Descriptive statistics

Standard deviation	290.1203116
Coefficient of variation (CV)	3.077047183
Kurtosis	463.8207384
Mean	94.28529833
Median Absolute Deviation (MAD)	30.43
Skewness	20.40788883
Sum	118516.62
Variance	84169.79522
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32.7	13	< 0.1%
34	13	< 0.1%
34.3	12	< 0.1%
34.2	12	< 0.1%
33	12	< 0.1%
78.6	7	< 0.1%
48	6	< 0.1%
94.2	6	< 0.1%
79.2	6	< 0.1%
66.6	6	< 0.1%
Other values (1027)	1164	< 0.1%
(Missing)	2458303	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.34	1	< 0.1%
0.48	1	< 0.1%
1	4	< 0.1%
1.56	1	< 0.1%
2	1	< 0.1%
2.12	1	< 0.1%
2.48	1	< 0.1%
3.15	1	< 0.1%
3.9	1	< 0.1%
4	1	< 0.1%

Value	Count	Frequency (%)
6947.85	1	< 0.1%
6696.72	1	< 0.1%
2290	1	< 0.1%
1415.96	1	< 0.1%
891.9	1	< 0.1%
676	1	< 0.1%
663	1	< 0.1%
650	1	< 0.1%
603.05	1	< 0.1%
592.1	2	< 0.1%

lot5_numero
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	463
Distinct (%)	11.2%
Missing	2455417
Missing (%)	99.8%
Infinite	0
Infinite (%)	0.0%
Mean	129.2302679

Minimum	2
Maximum	20028
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.8 MiB

Quantile statistics

Minimum	2
5-th percentile	4
Q1	8
median	26
Q3	74
95-th percentile	385.6
Maximum	20028
Range	20026
Interquartile range (IQR)	66

Descriptive statistics

Standard deviation	559.3145453
Coefficient of variation (CV)	4.328046009
Kurtosis	476.6911203
Mean	129.2302679
Median Absolute Deviation (MAD)	20
Skewness	17.59547083
Sum	535401
Variance	312832.7606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9	252	< 0.1%
8	236	< 0.1%
7	232	< 0.1%
5	223	< 0.1%
6	198	< 0.1%
4	124	< 0.1%
3	101	< 0.1%
2	68	< 0.1%
17	58	< 0.1%
19	57	< 0.1%
Other values (453)	2594	0.1%
(Missing)	2455417	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	68	< 0.1%
3	101	< 0.1%
4	124	< 0.1%
5	223	< 0.1%
6	198	< 0.1%
7	232	< 0.1%
8	236	< 0.1%
9	252	< 0.1%
11	2	< 0.1%
12	2	< 0.1%

Value	Count	Frequency (%)
20028	1	< 0.1%
11706	1	< 0.1%
9136	1	< 0.1%
7180	1	< 0.1%
7051	1	< 0.1%
6054	1	< 0.1%
6027	1	< 0.1%
5192	1	< 0.1%
5078	1	< 0.1%
5066	1	< 0.1%

lot5_surface_carrez
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	415
Distinct (%)	73.7%
Missing	2458997
Missing (%)	> 99.9%
Infinite	0
Infinite (%)	0.0%
Mean	104.5247247

Minimum	1
Maximum	6947.85
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.8 MiB

Quantile statistics

Minimum	1
5-th percentile	4.8
Q1	27.535
median	63.65
Q3	93.445
95-th percentile	225.968
Maximum	6947.85
Range	6946.85
Interquartile range (IQR)	65.91

Descriptive statistics

Standard deviation	415.1813246
Coefficient of variation (CV)	3.972087234
Kurtosis	244.4511094
Mean	104.5247247
Median Absolute Deviation (MAD)	32.57
Skewness	15.26434404
Sum	58847.42
Variance	172375.5323
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.8	36	< 0.1%
62.9	24	< 0.1%
78.9	12	< 0.1%
77	7	< 0.1%
23	6	< 0.1%
44.1	6	< 0.1%
66.8	6	< 0.1%
70.9	6	< 0.1%
91.9	6	< 0.1%
63.78	6	< 0.1%
Other values (405)	448	< 0.1%
(Missing)	2458997	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2	< 0.1%
1.81	1	< 0.1%
1.82	1	< 0.1%
2.17	1	< 0.1%
2.37	1	< 0.1%
3	1	< 0.1%
3.5	3	< 0.1%
3.73	1	< 0.1%
3.9	1	< 0.1%
4.8	36	< 0.1%

Value	Count	Frequency (%)
6947.85	1	< 0.1%
6696.72	1	< 0.1%
1680	1	< 0.1%
984.4	1	< 0.1%
552.4	1	< 0.1%
413.9	1	< 0.1%
411.82	1	< 0.1%
389.52	1	< 0.1%
388.21	1	< 0.1%
376.5	1	< 0.1%

nombre_lots
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct	64
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3914602612

Minimum	0
Maximum	150
Zeros	1702571
Zeros (%)	69.2%
Negative	0
Negative (%)	0.0%
Memory size	18.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	2
Maximum	150
Range	150
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.7716914297
Coefficient of variation (CV)	1.971314859
Kurtosis	2639.730976
Mean	0.3914602612
Median Absolute Deviation (MAD)	0
Skewness	22.11245427
Sum	962820
Variance	0.5955076627
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1702571	69.2%
1	601246	24.4%
2	130434	5.3%
3	16398	0.7%
4	4768	0.2%
5	1714	0.1%
6	868	< 0.1%
7	413	< 0.1%
8	282	< 0.1%
11	177	< 0.1%
Other values (54)	689	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1702571	69.2%
1	601246	24.4%
2	130434	5.3%
3	16398	0.7%
4	4768	0.2%
5	1714	0.1%
6	868	< 0.1%
7	413	< 0.1%
8	282	< 0.1%
9	159	< 0.1%

Value	Count	Frequency (%)
150	1	< 0.1%
142	1	< 0.1%
122	1	< 0.1%
121	1	< 0.1%
119	1	< 0.1%
108	1	< 0.1%
107	1	< 0.1%
93	1	< 0.1%
90	1	< 0.1%
80	2	< 0.1%

code_type_local
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	1143726
Missing (%)	46.5%
Memory size	118.9 MiB

1.0	528257
2.0	402271
3.0	298369
4.0	86937

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	528257	21.5%
2.0	402271	16.4%
3.0	298369	12.1%
4.0	86937	3.5%
(Missing)	1143726	46.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	528257	40.1%
2.0	402271	30.6%
3.0	298369	22.7%
4.0	86937	6.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

type_local
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	1143726
Missing (%)	46.5%
Memory size	135.6 MiB

Maison	528257
Appartement	402271
Dépendance	298369
Local industriel. commercial ou assimilé	86937

Length

Max length	40
Median length	10
Mean length	10.6819652
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Maison
2nd row	Maison
3rd row	Appartement
4th row	Maison
5th row	Maison

Common Values

Value	Count	Frequency (%)
Maison	528257	21.5%
Appartement	402271	16.4%
Dépendance	298369	12.1%
Local industriel. commercial ou assimilé	86937	3.5%
(Missing)	1143726	46.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
maison	528257	31.8%
appartement	402271	24.2%
dépendance	298369	17.9%
local	86937	5.2%
industriel	86937	5.2%
commercial	86937	5.2%
ou	86937	5.2%
assimilé	86937	5.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

surface_reelle_bati
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	3776
Distinct (%)	0.4%
Missing	1447059
Missing (%)	58.8%
Infinite	0
Infinite (%)	0.0%
Mean	115.0523535

Minimum	1
Maximum	218290
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.8 MiB

Quantile statistics

Minimum	1
5-th percentile	23
Q1	51
median	77
Q3	107
95-th percentile	190
Maximum	218290
Range	218289
Interquartile range (IQR)	56

Descriptive statistics

Standard deviation	853.1617471
Coefficient of variation (CV)	7.415421944
Kurtosis	21840.93601
Mean	115.0523535
Median Absolute Deviation (MAD)	27
Skewness	121.3804483
Sum	116490623
Variance	727884.9667
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80	20130	0.8%
60	18268	0.7%
90	18237	0.7%
70	17733	0.7%
100	15942	0.6%
50	14507	0.6%
65	13678	0.6%
40	12877	0.5%
75	12676	0.5%
120	11683	0.5%
Other values (3766)	856770	34.8%
(Missing)	1447059	58.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	265	< 0.1%
2	407	< 0.1%
3	139	< 0.1%
4	153	< 0.1%
5	150	< 0.1%
6	255	< 0.1%
7	364	< 0.1%
8	584	< 0.1%
9	820	< 0.1%
10	2405	0.1%

Value	Count	Frequency (%)
218290	3	< 0.1%
151788	2	< 0.1%
151157	1	< 0.1%
143300	1	< 0.1%
139040	1	< 0.1%
137000	1	< 0.1%
120005	1	< 0.1%
112039	1	< 0.1%
112037	1	< 0.1%
111310	3	< 0.1%

nombre_pieces_principales
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct	44
Distinct (%)	< 0.1%
Missing	1145290
Missing (%)	46.6%
Infinite	0
Infinite (%)	0.0%
Mean	2.501025664

Minimum	0
Maximum	109
Zeros	385324
Zeros (%)	15.7%
Negative	0
Negative (%)	0.0%
Memory size	18.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3
Q3	4
95-th percentile	6
Maximum	109
Range	109
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.112755955
Coefficient of variation (CV)	0.8447558077
Kurtosis	14.00198786
Mean	2.501025664
Median Absolute Deviation (MAD)	2
Skewness	0.8089053007
Sum	3287023
Variance	4.463737726
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
0	385324	15.7%
4	229389	9.3%
3	218427	8.9%
2	158491	6.4%
5	140307	5.7%
1	91864	3.7%
6	56124	2.3%
7	20780	0.8%
8	7803	0.3%
9	2992	0.1%
Other values (34)	2769	0.1%
(Missing)	1145290	46.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	385324	15.7%
1	91864	3.7%
2	158491	6.4%
3	218427	8.9%
4	229389	9.3%
5	140307	5.7%
6	56124	2.3%
7	20780	0.8%
8	7803	0.3%
9	2992	0.1%

Value	Count	Frequency (%)
109	1	< 0.1%
97	1	< 0.1%
84	1	< 0.1%
71	1	< 0.1%
70	2	< 0.1%
55	2	< 0.1%
54	2	< 0.1%
51	1	< 0.1%
44	2	< 0.1%
41	1	< 0.1%

code_nature_culture
Categorical

HIGH CORRELATION
MISSING

Distinct	27
Distinct (%)	< 0.1%
Missing	767675
Missing (%)	31.2%
Memory size	117.3 MiB

S	829111
T	241955
P	127873
J	98241
AB	83904
Other values (22)	310801

Length

Max length	2
Median length	1
Mean length	1.189654734
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	T
2nd row	BT
3rd row	T
4th row	T
5th row	T

Common Values

Value	Count	Frequency (%)
S	829111	33.7%
T	241955	9.8%
P	127873	5.2%
J	98241	4.0%
AB	83904	3.4%
BT	67375	2.7%
AG	61910	2.5%
L	58246	2.4%
VI	26013	1.1%
BR	24135	1.0%
Other values (17)	73122	3.0%
(Missing)	767675	31.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
s	829111	49.0%
t	241955	14.3%
p	127873	7.6%
j	98241	5.8%
ab	83904	5.0%
bt	67375	4.0%
ag	61910	3.7%
l	58246	3.4%
vi	26013	1.5%
br	24135	1.4%
Other values (17)	73122	4.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

nature_culture
Categorical

HIGH CORRELATION
MISSING

Distinct	27
Distinct (%)	< 0.1%
Missing	767675
Missing (%)	31.2%
Memory size	137.2 MiB

sols	829111
terres	241955
prés	127873
jardins	98241
terrains a bâtir	83904
Other values (22)	310801

Length

Max length	19
Median length	4
Mean length	6.577253773
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	terres
2nd row	taillis simples
3rd row	terres
4th row	terres
5th row	terres

Common Values

Value	Count	Frequency (%)
sols	829111	33.7%
terres	241955	9.8%
prés	127873	5.2%
jardins	98241	4.0%
terrains a bâtir	83904	3.4%
taillis simples	67375	2.7%
terrains d'agrément	61910	2.5%
landes	58246	2.4%
vignes	26013	1.1%
futaies résineuses	24135	1.0%
Other values (17)	73122	3.0%
(Missing)	767675	31.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sols	829111	40.6%
terres	242037	11.8%
terrains	145814	7.1%
prés	129997	6.4%
jardins	98241	4.8%
a	83904	4.1%
bâtir	83904	4.1%
taillis	79111	3.9%
simples	67375	3.3%
d'agrément	61910	3.0%
Other values (24)	223158	10.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

code_nature_culture_speciale
Categorical

HIGH CARDINALITY
MISSING

Distinct	120
Distinct (%)	0.1%
Missing	2352011
Missing (%)	95.6%
Memory size	78.1 MiB

POTAG	28037
PATUR	9387
PIN	9344
PARC	9316
FRICH	6132
Other values (115)	45333

Length

Max length	5
Median length	5
Mean length	4.511701643
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	< 0.1%

Sample

1st row	JARD
2nd row	JARD
3rd row	JARD
4th row	JARD
5th row	JARD

Common Values

Value	Count	Frequency (%)
POTAG	28037	1.1%
PATUR	9387	0.4%
PIN	9344	0.4%
PARC	9316	0.4%
FRICH	6132	0.2%
VAOC	4411	0.2%
CHAT	3157	0.1%
CHENE	2944	0.1%
MARAI	2638	0.1%
ETANG	2308	0.1%
Other values (110)	29875	1.2%
(Missing)	2352011	95.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
potag	28037	26.1%
patur	9387	8.7%
pin	9344	8.7%
parc	9316	8.7%
frich	6132	5.7%
vaoc	4411	4.1%
chat	3157	2.9%
chene	2944	2.7%
marai	2638	2.5%
etang	2308	2.1%
Other values (110)	29875	27.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

nature_culture_speciale
Categorical

HIGH CARDINALITY
MISSING

Distinct	120
Distinct (%)	0.1%
Missing	2352011
Missing (%)	95.6%
Memory size	79.6 MiB

Jardin potager	28037
Pâture plantée	9387
Pins	9344
Parc	9316
Friche	6132
Other values (115)	45333

Length

Max length	38
Median length	14
Mean length	12.27853351
Min length	3

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	< 0.1%

Sample

1st row	Jardin d'agrément
2nd row	Jardin d'agrément
3rd row	Jardin d'agrément
4th row	Jardin d'agrément
5th row	Jardin d'agrément

Common Values

Value	Count	Frequency (%)
Jardin potager	28037	1.1%
Pâture plantée	9387	0.4%
Pins	9344	0.4%
Parc	9316	0.4%
Friche	6132	0.2%
Vins d'appellation d'origine contrôlée	4411	0.2%
Châtaigneraie	3157	0.1%
Chênes	2944	0.1%
Pré marais	2638	0.1%
Etangs	2308	0.1%
Other values (110)	29875	1.2%
(Missing)	2352011	95.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
jardin	29366	15.1%
potager	28037	14.5%
pâture	9387	4.8%
plantée	9387	4.8%
pins	9344	4.8%
parc	9320	4.8%
friche	6132	3.2%
ou	5187	2.7%
vins	4475	2.3%
d'appellation	4411	2.3%
Other values (153)	78967	40.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

surface_terrain
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
SKEWED

Distinct	40397
Distinct (%)	2.4%
Missing	767734
Missing (%)	31.2%
Infinite	0
Infinite (%)	0.0%
Mean	2862.548819

Minimum	1
Maximum	10723091
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	18.8 MiB

Quantile statistics

Minimum	1
5-th percentile	30
Q1	226
median	593
Q3	1710
95-th percentile	11850
Maximum	10723091
Range	10723090
Interquartile range (IQR)	1484

Descriptive statistics

Standard deviation	16095.08664
Coefficient of variation (CV)	5.622641799
Kurtosis	134638.7225
Mean	2862.548819
Median Absolute Deviation (MAD)	465
Skewness	245.0111668
Sum	4842934518
Variance	259051814
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
500	34713	1.4%
1000	16077	0.7%
800	5075	0.2%
600	4844	0.2%
12	4536	0.2%
400	4147	0.2%
100	3964	0.2%
700	3885	0.2%
300	3870	0.2%
200	3793	0.2%
Other values (40387)	1606922	65.3%
(Missing)	767734	31.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3621	0.1%
2	2779	0.1%
3	2665	0.1%
4	2849	0.1%
5	2838	0.1%
6	2827	0.1%
7	2628	0.1%
8	2730	0.1%
9	2470	0.1%
10	3160	0.1%

Value	Count	Frequency (%)
10723091	1	< 0.1%
6032439	1	< 0.1%
4428607	1	< 0.1%
3419000	1	< 0.1%
3383224	1	< 0.1%
1547250	1	< 0.1%
1411524	14	< 0.1%
1250435	1	< 0.1%
1241266	1	< 0.1%
1221105	1	< 0.1%

longitude
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	1389622
Distinct (%)	57.2%
Missing	30083
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	2.036064863

Minimum	-63.141976
Maximum	55.822271
Zeros	0
Zeros (%)	0.0%
Negative	603739
Negative (%)	24.5%
Memory size	18.8 MiB

Quantile statistics

Minimum	-63.141976
5-th percentile	-2.071753
Q1	0.020138
median	2.281216
Q3	3.945263
95-th percentile	6.440334
Maximum	55.822271
Range	118.964247
Interquartile range (IQR)	3.925125

Descriptive statistics

Standard deviation	5.076373127
Coefficient of variation (CV)	2.493227608
Kurtosis	91.34359458
Mean	2.036064863
Median Absolute Deviation (MAD)	1.971133
Skewness	-1.519063798
Sum	4946572.754
Variance	25.76956413
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.972251	858	< 0.1%
2.30474	746	< 0.1%
4.33429	707	< 0.1%
1.916957	687	< 0.1%
1.849073	648	< 0.1%
7.293616	576	< 0.1%
2.36786	505	< 0.1%
2.490008	477	< 0.1%
7.210081	426	< 0.1%
0.141625	425	< 0.1%
Other values (1389612)	2423422	98.5%
(Missing)	30083	1.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-63.141976	4	< 0.1%
-63.135624	2	< 0.1%
-63.115044	1	< 0.1%
-63.114977	3	< 0.1%
-63.11152	4	< 0.1%
-63.092922	1	< 0.1%
-63.087489	1	< 0.1%
-63.086702	7	< 0.1%
-63.086121	1	< 0.1%
-63.085969	1	< 0.1%

Value	Count	Frequency (%)
55.822271	1	< 0.1%
55.816913	4	< 0.1%
55.814907	1	< 0.1%
55.814747	1	< 0.1%
55.81465	1	< 0.1%
55.813409	2	< 0.1%
55.811078	2	< 0.1%
55.810488	2	< 0.1%
55.810282	2	< 0.1%
55.809778	2	< 0.1%

latitude
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct	1354320
Distinct (%)	55.7%
Missing	30083
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	46.65917365

Minimum	-21.385203
Maximum	51.081947
Zeros	0
Zeros (%)	0.0%
Negative	7078
Negative (%)	0.3%
Memory size	18.8 MiB

Quantile statistics

Minimum	-21.385203
5-th percentile	43.312805
Q1	45.145914
median	47.314022
Q3	48.803098
95-th percentile	50.17572
Maximum	51.081947
Range	72.46715
Interquartile range (IQR)	3.657184

Descriptive statistics

Standard deviation	4.699261874
Coefficient of variation (CV)	0.1007146399
Kurtosis	135.1950247
Mean	46.65917365
Median Absolute Deviation (MAD)	1.578251
Skewness	-10.18499257
Sum	113357389.2
Variance	22.08306216
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
48.824982	858	< 0.1%
48.915541	747	< 0.1%
43.823295	705	< 0.1%
48.983872	687	< 0.1%
50.960173	648	< 0.1%
43.718853	576	< 0.1%
48.856387	476	< 0.1%
43.669307	426	< 0.1%
49.489123	425	< 0.1%
48.921111	401	< 0.1%
Other values (1354310)	2423528	98.5%
(Missing)	30083	1.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-21.385203	1	< 0.1%
-21.385138	1	< 0.1%
-21.385006	1	< 0.1%
-21.384045	1	< 0.1%
-21.383799	1	< 0.1%
-21.383795	1	< 0.1%
-21.383615	1	< 0.1%
-21.383611	1	< 0.1%
-21.38356	1	< 0.1%
-21.383298	1	< 0.1%

Value	Count	Frequency (%)
51.081947	4	< 0.1%
51.081765	3	< 0.1%
51.08171	2	< 0.1%
51.081127	1	< 0.1%
51.081102	3	< 0.1%
51.080942	1	< 0.1%
51.080765	3	< 0.1%
51.080627	3	< 0.1%
51.08059	4	< 0.1%
51.080247	4	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id_mutation	date_mutation	numero_disposition	nature_mutation	valeur_fonciere	adresse_numero	adresse_suffixe	adresse_nom_voie	adresse_code_voie	code_postal	code_commune	nom_commune	code_departement	ancien_code_commune	ancien_nom_commune	id_parcelle	ancien_id_parcelle	numero_volume	lot1_numero	lot1_surface_carrez	lot2_numero	lot2_surface_carrez	lot3_numero	lot3_surface_carrez	lot4_numero	lot4_surface_carrez	lot5_numero	lot5_surface_carrez	code_type_local	type_local	surface_reelle_bati	nombre_pieces_principales	code_nature_culture	nature_culture	code_nature_culture_speciale	nature_culture_speciale	surface_terrain	longitude	latitude
0	2020-1	2020-01-07	1	Vente	8000.0	NaN	NaN	FORTUNAT	B063	1250.0	1072	Ceyzériat	1	NaN	NaN	01072000AK0216	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	T	terres	NaN	NaN	1061.0	5.323540	46.171919
1	2020-2	2020-01-02	1	Vente	2175.0	NaN	NaN	TERRES DES CINQ SAULES	B124	1290.0	1203	Laiz	1	NaN	NaN	012030000B0004	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	BT	taillis simples	NaN	NaN	85.0	4.893436	46.251868
2	2020-2	2020-01-02	1	Vente	2175.0	NaN	NaN	BOIS DU CHAMP RION	B006	1290.0	1203	Laiz	1	NaN	NaN	012030000B0173	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	T	terres	NaN	NaN	1115.0	4.899919	46.235327
3	2020-2	2020-01-02	1	Vente	2175.0	NaN	NaN	EN COROBERT	B025	1290.0	1203	Laiz	1	NaN	NaN	012030000B0477	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	T	terres	NaN	NaN	1940.0	4.882347	46.246519
4	2020-2	2020-01-02	1	Vente	2175.0	NaN	NaN	TERRES DES CINQ SAULES	B124	1290.0	1203	Laiz	1	NaN	NaN	012030000C0068	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	T	terres	NaN	NaN	1148.0	4.894688	46.251820
5	2020-2	2020-01-02	1	Vente	2175.0	NaN	NaN	TERRES DES CINQ SAULES	B124	1290.0	1203	Laiz	1	NaN	NaN	012030000C0069	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	T	terres	NaN	NaN	2960.0	4.894607	46.251943
6	2020-3	2020-01-07	1	Vente	75000.0	NaN	NaN	RUE DE LA CHARTREUSE	0064	1960.0	1289	Péronnas	1	NaN	NaN	01289000AI0210	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	AB	terrains a bâtir	NaN	NaN	610.0	5.226198	46.184538
7	2020-4	2020-01-07	1	Vente	123.0	NaN	NaN	CHAMP PORTIER	B041	1370.0	1426	Val-Revermont	1	NaN	NaN	01426000ZN0197	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	S	sols	NaN	NaN	55.0	5.344396	46.263943
8	2020-4	2020-01-07	1	Vente	123.0	NaN	NaN	CHAMP PORTIER	B041	1370.0	1426	Val-Revermont	1	NaN	NaN	01426000ZN0201	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	S	sols	NaN	NaN	68.0	5.343884	46.263800
9	2020-5	2020-01-09	1	Vente	72000.0	NaN	NaN	CHAMPEL	B034	1270.0	1108	Coligny	1	NaN	NaN	01108000AC0015	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	J	jardins	NaN	NaN	328.0	5.350565	46.380898

Last rows

	id_mutation	date_mutation	numero_disposition	nature_mutation	valeur_fonciere	adresse_numero	adresse_suffixe	adresse_nom_voie	adresse_code_voie	code_postal	code_commune	nom_commune	code_departement	ancien_code_commune	ancien_nom_commune	id_parcelle	ancien_id_parcelle	numero_volume	lot1_numero	lot1_surface_carrez	lot2_numero	lot2_surface_carrez	lot3_numero	lot3_surface_carrez	lot4_numero	lot4_surface_carrez	lot5_numero	lot5_surface_carrez	nombre_lots	code_type_local	type_local	surface_reelle_bati	nombre_pieces_principales	code_nature_culture	nature_culture	code_nature_culture_speciale	nature_culture_speciale	surface_terrain	longitude	latitude
2459550	2020-1075291	2020-12-16	1	Vente	1937500.0	24.0	NaN	RUE CHANOINESSE	1748	75004.0	75104	Paris 4e Arrondissement	75	NaN	NaN	75104000AW0019	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	2.0	Appartement	40.0	2.0	S	sols	NaN	NaN	447.0	2.350481	48.854293
2459551	2020-1075291	2020-12-16	1	Vente	1937500.0	24.0	NaN	RUE CHANOINESSE	1748	75004.0	75104	Paris 4e Arrondissement	75	NaN	NaN	75104000AW0019	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	2.0	Appartement	46.0	2.0	S	sols	NaN	NaN	447.0	2.350481	48.854293
2459552	2020-1075291	2020-12-16	1	Vente	1937500.0	24.0	NaN	RUE CHANOINESSE	1748	75004.0	75104	Paris 4e Arrondissement	75	NaN	NaN	75104000AW0019	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	2.0	Appartement	40.0	2.0	S	sols	NaN	NaN	447.0	2.350481	48.854293
2459553	2020-1075291	2020-12-16	1	Vente	1937500.0	24.0	NaN	RUE CHANOINESSE	1748	75004.0	75104	Paris 4e Arrondissement	75	NaN	NaN	75104000AW0019	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	2.0	Appartement	29.0	2.0	S	sols	NaN	NaN	447.0	2.350481	48.854293
2459554	2020-1075291	2020-12-16	1	Vente	1937500.0	24.0	NaN	RUE CHANOINESSE	1748	75004.0	75104	Paris 4e Arrondissement	75	NaN	NaN	75104000AW0019	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	2.0	Appartement	27.0	2.0	S	sols	NaN	NaN	447.0	2.350481	48.854293
2459555	2020-1075291	2020-12-16	1	Vente	1937500.0	24.0	NaN	RUE CHANOINESSE	1748	75004.0	75104	Paris 4e Arrondissement	75	NaN	NaN	75104000AW0019	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	2.0	Appartement	87.0	4.0	S	sols	NaN	NaN	447.0	2.350481	48.854293
2459556	2020-1075291	2020-12-16	1	Vente	1937500.0	24.0	NaN	RUE CHANOINESSE	1748	75004.0	75104	Paris 4e Arrondissement	75	NaN	NaN	75104000AW0019	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	3.0	Dépendance	NaN	0.0	S	sols	NaN	NaN	447.0	2.350481	48.854293
2459557	2020-1075291	2020-12-16	1	Vente	1937500.0	24.0	NaN	RUE CHANOINESSE	1748	75004.0	75104	Paris 4e Arrondissement	75	NaN	NaN	75104000AW0019	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	2.0	Appartement	82.0	2.0	S	sols	NaN	NaN	447.0	2.350481	48.854293
2459558	2020-1075291	2020-12-16	1	Vente	1937500.0	24.0	NaN	RUE CHANOINESSE	1748	75004.0	75104	Paris 4e Arrondissement	75	NaN	NaN	75104000AW0019	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0	3.0	Dépendance	NaN	0.0	S	sols	NaN	NaN	447.0	2.350481	48.854293
2459559	2020-1075292	2020-10-08	1	Adjudication	255000.0	39.0	NaN	RUE SAINT-SAUVEUR	8752	75002.0	75102	Paris 2e Arrondissement	75	NaN	NaN	75102000AM0143	NaN	NaN	97.0	3.2	98.0	17.4	NaN	NaN	NaN	NaN	NaN	NaN	2	2.0	Appartement	21.0	1.0	NaN	NaN	NaN	NaN	NaN	2.348149	48.865935

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters